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Segmentation en mots faiblement supervisée pour la documentation automatique des langues
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In: https://hal.archives-ouvertes.fr/hal-03477475 ; 2021 (2021)
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Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads? ...
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Lightweight Adapter Tuning for Multilingual Speech Translation ...
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Multilingual Unsupervised Neural Machine Translation with Denoising Adapters ...
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Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settings ...
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User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
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In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; 2020 ; https://computel-workshop.org/ (2020)
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A Data Efficient End-To-End Spoken Language Understanding Architecture ...
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Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech ...
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Investigating Language Impact in Bilingual Approaches for Computational Language Documentation ...
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Controlling Utterance Length in NMT-based Word Segmentation with Attention ...
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MaSS - Multilingual corpus of Sentence-aligned Spoken utterances ...
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MaSS - Multilingual corpus of Sentence-aligned Spoken utterances ...
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How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages ...
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Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech ...
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Models of Visually Grounded Speech Signal Pay Attention To Nouns: a Bilingual Experiment on English and Japanese ...
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Synthetically Spoken STAIR ...
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Abstract:
This dataset consists of synthetically spoken captions for the STAIR dataset. Following the same methodology as Chrupała et al. (see article | dataset | code) we generated speech for each caption of the STAIR dataset using Google's Text-to-Speech API. This dataset was used for visually grounded speech experiments (see article accepted at ICASSP2019). @INPROCEEDINGS{8683069, author={W. N. {Havard} and J. {Chevrot} and L. {Besacier}}, booktitle={ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title={Models of Visually Grounded Speech Signal Pay Attention to Nouns: A Bilingual Experiment on English and Japanese}, year={2019}, volume={}, number={}, pages={8618-8622}, keywords={information retrieval;natural language processing;neural nets;speech processing;word processing;artificial neural attention;human attention;monolingual models;part-of-speech tags;nouns;neural models;visually grounded speech signal;English language;Japanese language;word ...
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Keyword:
mscoco; speech; stair; visually grounded speech
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URL: https://zenodo.org/record/1495069 https://dx.doi.org/10.5281/zenodo.1495069
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Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ...
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Unsupervised Word Segmentation from Speech with Attention ...
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